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Hello and welcome to Session 3 of our Open RAN learning series! In this session, we will delve into the intricate world of network architecture, shedding light on the RAN network, transport network, and core network. Additionally, we will provide a real-world perspective by showcasing components of a traditional network tower, including antennas, radio units (RRUs), and baseband units (BBUs). Join us as we explore the distribution of protocol layers in these components, offering a comprehensive understanding of both Open RAN and traditional network infrastructures.<br/><br/>Overview of Network Architecture<br/>Session 3 of our Open RAN series offers a high-level overview of network architecture, focusing on three key segments: the RAN network, transport network, and core network. These segments form the backbone of modern telecommunications infrastructure, each playing a crucial role in ensuring seamless connectivity. The session aims to provide a comprehensive understanding of how these networks interconnect and function together to deliver reliable communication services.<br/><br/>Deep Dive into RAN, Transport, and Core Networks<br/>During the session, we will delve into each network segment, starting with the RAN network. This segment encompasses the radio access network, which includes base stations and antennas that connect users to the core network. We will then explore the transport network, responsible for carrying data between the RAN and core networks. Lastly, we will discuss the core network, which handles tasks such as call routing, network management, and data processing. By understanding these segments, viewers will gain insight into the complexity of modern network infrastructures.<br/><br/>Real-Life Examples and Component Breakdown<br/>To provide a practical perspective, the session will showcase real-life examples of traditional network towers. These towers house crucial components such as antennas, radio units (RRUs), and baseband units (BBUs), which are essential for network operations. Additionally, we will explain how protocol layers are distributed across these components, offering a glimpse into the intricate workings of network protocols. Overall, Session 3 aims to demystify network architecture, making it more accessible to beginners in the field of telecommunications.<br/><br/><br/><br/>Subscribe to \
⏲ 5:44 👁 5K
No matter how a terrible place the world is, there is always someone who proves that the good always wins. Maybe that’s the first and only chance given by a fate that has never been fair to you. The name of that chance that will change the fate of eighteen-year-old high school student Eylul (Oyku Karayel) is Ali Asaf Denizoglu (Gokhan Alkan). The story begins in a high school of a town in the Aegean region. After the two part ways, they cross paths again on the roof of Istanbul’s best hospital! The young brain surgeon Eylul tells her story while she gives a good beating to a group of bullies who raids the hospital’s emergency room. She was a rebellious girl who had changed schools many times and whom teachers didn’t want to deal with. Even when her father picked her up from the last school she got expelled from and beat her very bad, she did not shed a single teardrop. However, that day her whole life changes; the prayer of her grandmother, who ran a small hostel in Marmaris and opened her house to Eylul brings a miracle. \
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Welcome to Session 13 of our Open RAN series! In this session, we'll explore the integration of Artificial Intelligence (AI) and Machine Learning (ML) in Open RAN. These technologies play a crucial role in designing intelligent systems that enhance the overall ecosystem of Open RAN.<br/><br/>Artificial Intelligence and Machine Learning<br/>Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. Machine Learning (ML) is a subset of AI that allows machines to learn from data without being explicitly programmed. These technologies can revolutionize Open RAN by enabling intelligent decision-making, predictive maintenance, and network optimization.<br/><br/><br/>Application of Machine Learning in Open RAN<br/>Machine Learning algorithms use mathematical functions to analyze data and make predictions or decisions based on that analysis. In Open RAN, ML can be applied to various areas such as network optimization, predictive maintenance, and intelligent resource allocation. ML algorithms can analyze network traffic patterns, predict equipment failures, and optimize network performance, leading to improved efficiency and reliability.<br/><br/><br/>Join us as we explore the potential of AI and Machine Learning in Open RAN. Don't forget to subscribe to the \
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